code: def _adjust_num_frames(
      x: torch.Tensor, num_frames: torch.Tensor
  ) -> torch.Tensor:
      x_length = x.shape[1]
      if num_frames > x_length:
          x = F.pad(x, (0, num_frames - x_length))
      elif num_frames < x_length:
          x = x[:num_frames]
      return x
  
file_path: espnet/espnet2/tts/feats_extract/ying.py
imports: import math
  from typing import Any, Dict, Tuple, Union
  import torch
  from espnet2.tts.feats_extract.abs_feats_extract import AbsFeatsExtract
  from espnet2.tts.feats_extract.yin import *
  from espnet.nets.pytorch_backend.nets_utils import pad_list
label_desc: Use image node_id 8 for calling the Ying obj's underlying member method code with example usage: obj._adjust_num_frames(x, num_frames) and returns: x